Quantum-Classical Computing Device for Three-Axis Error Mitigation
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Solution Overview
Problem
Existing quantum computing systems face issues with information loss and error accumulation due to single-axis observation and increased gate depth, limiting the accuracy and fidelity of quantum computing operations.
Innovation Solution
A computing device with a conversion device, interfaces, and an error mitigator that performs three-axis observation and error mitigation, along with an optimizer to reduce errors and improve fidelity by converting data between classical and quantum domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If gate depth in the quantum domain is increased to improve information transmission, then information transmission capability is improved, but qubit accuracy is reduced due to gate errors accumulating
Solution Approach 1:
The patent introduces a hybrid quantum-classical architecture where quantum processors and classical processors work together. The classical processor processes intermediate results from quantum processors, allowing information to be transmitted across multiple quantum processors without requiring excessive gate depth in a single quantum processor, thereby reducing error accumulation while maintaining information transmission capability.
Solution Approach 2:
The patent divides the quantum computing system into multiple quantum processors that can be connected in series or parallel. This segmentation allows information to be transmitted across multiple smaller quantum processing units rather than requiring one large quantum processor with deep gate circuits, reducing the accumulation of gate errors while maintaining overall information transmission capability.
2Device complexity
If single-axis observation is used during quantum processing, then device complexity is reduced, but information loss occurs
Solution Approach 1:
The patent implements a multi-axis observation system where quantum processors can perform measurements along multiple axes (x-axis, y-axis, z-axis). This multi-functional observation capability allows the system to extract complete quantum information without requiring separate specialized devices for each measurement axis, maintaining low device complexity while preventing information loss.
3Loss of information
If multiple quantum processors are connected in series to transmit information, then information transmission capability is improved, but errors are accumulated
Solution Approach 1:
The patent implements a feedback mechanism where classical processors receive results from quantum processors, process the information, and send control signals back to the quantum processors. This feedback loop allows for error detection and correction between stages of information transmission, preventing error accumulation while maintaining improved information transmission capability across multiple quantum processors.
Data Source
AI summary
The present disclosure relates to a computing device and a quantum computing system comprising same. The computing device according to an embodiment of the present disclosure comprises: a converter which converts data based on the first domain into data based on the second domain, the second domain being a quantum domain; a first interface which outputs, to a quantum processor, the data based on the second domain from the converter; a second interface to which data processed by the quantum processor is received; and an error mitigator which performs error mitigation processing of data received from the second interface. Accordingly, errors occurring in the quantum domain can be reduced.


